Occupational Health & Safety Data Analytics

Data tells you what happened. We tell you what to do about it.

We help businesses gather and interpret occupational health and safety data — and turn it into findings that go beyond a chart, because they're built on real industry experience, not just an analytics template.

20 years HSE experience
Mining · Construction · Government
Leading Indicator Dashboard DASH-01 · Live preview
Select a series to see the trend and the finding it produced.
Illustrative data — built to demonstrate the analysis approach, not client figures.
The problem

Your safety data is telling you something. Nobody has time to hear it.

Incident logs in one system. Audit findings in another. Training records in a third. TRIFR reported monthly from a spreadsheet only one person knows how to update. By the time a trend reaches a board report, the exposure has been live for a quarter.

Lagging, not leading. Leadership makes safety decisions on last quarter's snapshot, not what the data is showing right now.

Fragmented systems. The pattern that matters is split across tools that don't talk to each other, so nobody sees the whole picture.

Single point of failure. Reporting depends on one person and one spreadsheet. When they're away, visibility stops.

Obvious only in hindsight. The finding was in the data all along — until an incident made it clear when it was already too late.

Most operations think they have a data problem. What they have is findings buried in data nobody has time to interpret.

What we do

Occupational health & safety data analytics

Every engagement is scoped around one thing: turning your safety data into a finding your business can act on.

01

Data Collection & Integration

Pulling incident logs, audit registers, training records, and contractor records into one clean, structured source.

02

Statistical & Trend Analysis

TRIFR/LTIFR, near-miss, and audit trend analysis built in SQL, Python, and Power BI — not a spreadsheet average.

03

Root-Cause & Pattern Findings

Investigation-grade analysis identifying the underlying driver behind a trend, not just the symptom sitting on top of it.

04

WHS Regulatory & Compliance Reporting

Notifiable incident reporting, WHS Act compliance submissions, and audit-ready documentation prepared end to end.

05

Dashboard Design & Handover

Dashboards built to be read in seconds by a site manager, then handed over for your team to run independently.

06

Real-World Solution Design

Every finding is paired with a control recommendation grounded in 20 years of field HSE practice — not a generic best-practice list.

Why this isn't a generic analytics service

Findings, not just business analytics

Anyone can build a dashboard from a data export. What's harder to buy is the judgement to know which pattern actually matters on site — because you've stood in the audit, run the investigation, or written the corrective action yourself.

Dimension
Generic analytics
Worsch Safety Analytics
Who's behind the finding
A data analyst reading a dataset
An HSE practitioner who has run the investigation or audit itself
What you get
Charts and statistical correlations
A root-cause finding tied to a control you can implement
Regulatory context
Numbers without legislative framing
Findings mapped directly to WHS Act and ISO 45001 obligations
The handover
A dashboard you interpret yourself
A dashboard plus a plain-language recommendation, ready to act on
How a finding gets made

Gather, interpret, find, solve

01

Gather

Site systems, monitoring data, and audit records are pulled into one structured source — often the messiest and most valuable step.

02

Interpret

Statistical analysis surfaces the pattern — but interpretation is checked against what actually happens on a real site.

03

Find

The pattern is named as a specific, defensible finding — not a vague observation buried in a report appendix.

04

Solve

Every finding is delivered with a real-world control recommendation your team can implement this week.

Capability in practice

From raw data to a decision

Each of these is a worked example of the same discipline applied to different data — find the pattern, name the issue, and hand over something a site team can act on.

Finding 01 — Incident Data

The contractor induction gap

Gather: ICAM investigation records cross-referenced against contractor induction completion dates.
Interpret: Repeat incident types clustered in the first 30 days of new contractor mobilisations, not by task type.
Solve: A staged induction gate introduced before high-risk task sign-off, targeted at the exact exposure window the data identified.
Illustrative methodology — based on portfolio project structure, not a specific client engagement.
Finding 02 — Roster & Near-Miss Data

The fatigue window nobody had mapped

Gather: Near-miss reports cross-referenced against rostered shift data and consecutive night-shift counts.
Interpret: Near-miss frequency rose sharply after the third consecutive night shift, independent of task type or crew.
Solve: Recommended a consecutive night-shift cap and targeted fatigue monitoring at the exact trigger point the data identified.
Illustrative methodology — based on portfolio project structure, not a specific client engagement.
About

Industry experience is the analytics advantage.

Document No.PROC-ABOUT-01
Revision7.0
Effective Date2026
OwnerPrincipal Consultant

Worsch Safety Analytics exists because most occupational health and safety data sits in a spreadsheet nobody has time to properly interpret. We built this practice on two decades of on-the-ground safety and quality experience across mining, heavy construction, and Australian government — so that every finding is checked against what's actually true on a real site, not just what a query returns.

That's the line between business analytics and what we do: a generic analyst can tell you a number went up. We can tell you why it went up, what it means under the WHS Act or ISO 45001, and what to do about it by Monday.

Safety & Audit Credentials

  • Bachelor of Occupational Health & Safety
  • Graduate Diploma, Building Surveying
  • JAS-ANZ Registered Auditor
  • Certified Safety Professional (Safety Institute of Australia)
  • ISO 45001 management systems
  • ICAM-trained incident investigator
  • WHS Act 2011 (WA / QLD / NSW)

Data & AI Credentials

  • Microsoft Certified: Power BI Data Analyst Associate
  • Certified Data Management Professional (CDMP)
  • Microsoft Certified: Operationalizing Machine Learning & Generative AI Solutions
  • Microsoft Certified: Azure AI App & Agent Developer Associate
  • Microsoft Certified: Agentic AI Business Solutions Architect
Sectors served

Where this experience applies

Mining & Resources Heavy Construction Australian Government Infrastructure & Building Surveying

Let's find what your safety data is hiding.

Remote-first delivery across Australia and South-East Asia. Replies within one business day.

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Get in touch

Request a scope of work or quote

Available for short-term contract engagements, project-based analysis, and retained advisory. Every engagement delivered remotely — backed by two decades of on-site field experience.

Emailhello@worschsafetyanalytics.com
Based inAustralia — servicing AU & SE Asia
EngagementContract & project-based · remote-first